Data Scientist

Skills

• Programming
  
  Languages:
  
  Proficiency in programming languages such as Python and R is crucial for data manipulation, analysis, and implementing algorithms. Python is favored for its simplicity and extensive libraries (like Num Py and pandas), while R is preferred for statistical analysis and data visualization.
• Statistical Analysis: A strong foundation in statistics and probability is necessary for analyzing data accurately and making informed decisions. Understanding concepts like regression analysis, hypothesis testing, and statistical distributions is essential.
• Machine Learning:
  Knowledge of machine learning algorithms and frameworks (such as Tensor Flow and Scikit-Learn) is vital for building predictive models and automating decision‑making processes.
• Data Wrangling:
  The ability to clean and organize complex datasets is critical. Data wrangling involves transforming raw data into a usable format, which is often time‑consuming but necessary for effective analysis.
• Database Management:
  Familiarity with SQL and database management systems (like Postgre
  
  SQL and Mongo
  
  DB) is essential for extracting and manipulating data stored in relational databases.
• Data Visualization:
  Skills in data visualization tools (such as Tableau and Matplotlib) help communicate findings effectively. Creating charts, graphs, and dashboards is crucial for making data understandable to stakeholders.

• Bachelor's degree from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science).
• Five (5) years of experience analyzing datasets and developing analytics.
• Five (5) years of experience programming with data analysis software such as R, Python, SAS, or MATLAB.
• An additional four (4) years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for a Bachelor's degree.
• A PhD from an accredited college or university in a quantitative discipline can be substituted for four (4) years of experience.